SAME: A students' daily activity mobility model for campus delay-tolerant networks

Mobility model plays a crucial part in wireless network simulation or mathematical analysis, especially for human mobility because real mobility network constructed by human is hard to trace, measure or apply to different scenarios. For delay-tolerant networks, mobility model also affects the frequency and duration of opportunities for data transfer between nodes, which is a key factor of network performance, so whether we can choose a model according to realistic scenes is important for the accuracy and practicability of simulation. In this paper, we propose a new mobility model of students' daily activities based on the analysis and conclusion of students' habits and customs in campus environments, which is able to produce inter-contact time, contact time distribution and other contact information. We validate the movement model by using the ONE simulator comparing with other movement models and tracing data from real-world measurement experiments. Results show that SAME is consistent with actual student behavior characteristics.